As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

Google is adding new features to Data Layers in its JavaScript Maps API, which will allow developers to build a new breed of interactive apps that collect geographical data input from users. With the ...

GraphQL seems to be spreading like wildfire, and there's a reason for that. As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what ...

The next era of fintech leadership will likely be defined not by user interface improvements but by data infrastructure.

In today’s computing environment, businesses must revamp their data architecture, as it’s essential not only for technological advancement, but also for enhancing enterprise capabilities and ...

As regulatory agencies catch up with the information age, thoughtful data historization is becoming more vital to the normal operation of any good-practice facility. Pharmaceutical companies now hoard ...

For more than 20 years we have been using Layer 3 connectivity powered by dynamic routing protocols to route traffic between data centers, but adoption of virtualization and geo-clustering ...

The modern enterprise is comprised of a complex set of application stacks that span a disparate variety of virtual machines, physical servers, and proprietary storage hardware. Tentacles reach from ...

The innovative data availability layer is shaping the backbone of a modular blockchain ecosystem, promising scalability, interoperability and unprecedented flexibility for the future of Web3. Modular ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...